Skills
The methods and tools I use across the analytics and data science workflow, from data quality to modelling to reporting.
Turning business questions into measurable insights through structured analysis and evidence-based methods.
Building and evaluating predictive models to identify patterns, estimate outcomes, and support better decisions.
Readable, reproducible code for profiling, modelling and reporting.
Transforming data into clear, interactive dashboards and metrics that help stakeholders monitor performance.
Charts chosen to answer a question, never to decorate.
Using statistical methods to identify patterns, compare groups, and draw evidence-based conclusions from data.
Evaluating machine learning models to measure predictive performance, understand trade-offs, and interpret results.
Presenting accurate, structured reports that help stakeholders monitor performance and make informed decisions.
Reducing repetitive manual work through efficient, consistent, and repeatable data workflows.
Applying neural networks to learn complex patterns and build models for data-driven tasks.
Working with image data to develop and evaluate models for visual recognition tasks.
Validating data before anyone relies on it: the foundation of everything above.
The everyday tools behind the work.
Mostafizur Rahman